From fragmented data to better decisions.

Two products on one specialized AI layer. Foundation builds the context. Decisions puts it to work.

The Far symbol: two layers, Far Foundation and Far Decisions. Where they overlap, in blue, is the intelligence layer.

One layer, above the systems you run.

1Data

2Context

Far Foundation

Structured, reliable business context.

3Decisions

Far Decisions

Specialized open-weight models, predictive ML, retrieval and business rules, per decision.

4Outcomes

Turns fragmented information into structured, reliable business context.

Connects: ERP, CRM, POS, documents, spreadsheets, images, video, external signals
Produces: Entities, relationships, rules and semantic indexes, traceable to source
Agents: Resolve mismatches by asking the right person

Turns that context into specialized intelligence, one high-value decision at a time.

Combines: Language models, predictive ML, optimization and business rules
Models: Open-weight, adapted per task, privately deployed
People decide: Decision support first; automation only once proven and approved

Does Far replace our ERP or data platform?: No. Far connects to them and works above them.
Why open-weight models, and not a closed model through an API?: Because your data should not leave your control. A closed-weight model runs on its provider's servers, outside your systems, so using it means sending your company data there. Far only uses open-weight models, deployed privately next to your data, and for each task the most cost-efficient model that performs best. What matters is whether the weights are open, not whether the model is a frontier one.
Does Far train a model per company?: Not by default. It reuses task models and adapts them only where it helps.
Is our data shared?: No, and it never trains third-party models without your agreement.

In a first conversation we look at the problem, the information you already have and whether there is a good first use case to measure.